Cloud-side-end collaborative meteorological intelligent early warning system

A meteorological and edge technology, applied in meteorology, transmission systems, weather forecasting, etc., can solve the problem that the meteorological or geological characteristics of various regions cannot be effectively displayed, the flexibility of users to control data and technology is reduced, and data security cannot be guaranteed. and other problems, to achieve the effect of reasonable system structure and method process, improved application reliability and fast response speed

Active Publication Date: 2020-10-02
CHENGDU UNIV OF INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, cloud computing also has shortcomings: (1) It requires a persistent and stable network connection, and there is a large network delay in areas far from the cloud computing center; (2) Data security cannot be guaranteed; And the control flexibility of technology is reduced
Therefore, the processing and modeling of the above data only in the cloud may have the following problems: 1. The poor network communication environment leads to high delay in the return of results; The results cannot effectively display the meteorological or geological characteristics of each region

Method used

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  • Cloud-side-end collaborative meteorological intelligent early warning system
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  • Cloud-side-end collaborative meteorological intelligent early warning system

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Experimental program
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Embodiment 1

[0061] Such as Figures 1 to 4 As shown, the present invention is an artificial intelligence model execution system with cloud-edge-end collaboration, including a cloud, an edge end, and a terminal, the cloud is connected to the edge end through two-way communication, and the edge end is connected to the terminal through two-way communication;

[0062] The cloud includes a cloud server and a mirror warehouse, and the cloud server is used to build an operating environment, and implement training and data storage of the artificial intelligence model on the operating environment, and transfer the trained artificial intelligence model and result data to the operating environment Package it into a model execution image and push it to the mirror warehouse, and control the edge end to pull and execute the model execution image;

[0063] The edge end is used to pull the model execution image from the mirror warehouse in the cloud, and build a configuration file for model execution on ...

Embodiment 2

[0092] Such as Figures 5 to 8 As shown, the difference between this embodiment and Embodiment 1 is that this embodiment also provides a cloud-side-device collaborative meteorological intelligent early warning system, such as Figure 5 As shown, the system includes a cloud for large-area weather warnings, an edge terminal for small-area weather warnings, and a terminal for collection and display of results;

[0093] The cloud for large-area weather warning includes a weather warning cloud server and a weather warning mirror warehouse, and the weather warning cloud server is used to perform large-area weather warning analysis according to the meteorological data collected from the terminal of the collection and result display and be used to build the operating environment, and realize the training and data storage of the meteorological intelligent early warning model on the operating environment, and pack the trained meteorological intelligent early warning model, early warning...

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Abstract

The invention discloses a cloud-side-end collaborative meteorological intelligent early warning system. The system comprises a cloud end for large-area meteorological early warning, an edge end for small-area meteorological early warning and a terminal for collection and result display. The cloud end performs large-area meteorological early warning analysis and meteorological intelligent early warning model training on meteorological data acquired from the terminal, and issues the meteorological data to the edge end; the edge end obtains corresponding required data from each terminal accordingto the meteorological intelligent early warning model obtained from the cloud end, inputs the data into the meteorological intelligent early warning model and performs model calculation to obtain meteorological early warning analysis of the small area, analyzes the comprehensive meteorological early warning information of the large area and the small area in combination with the characteristics of the area where the edge end is located, and uploads the small-area and comprehensive meteorological early warning information to the cloud end for large-area meteorological early warning for storage, and issues the comprehensive meteorological early warning information to the terminal for collection and result display for early warning display. The system is high in meteorological early warningprecision and high in speed.

Description

technical field [0001] The invention relates to the technical fields of cloud computing and edge computing, in particular to an intelligent meteorological early warning system with cloud-edge-end collaboration. Background technique [0002] With the development of computer technology, cloud computing was proposed by Google in 2007 and developed rapidly in the following years. Cloud computing is a brand-new resource application mode, which forms a configurable computing resource pool with a large number of hardware resources, which has powerful computing and storage capabilities, which also makes cloud computing reduce the Internet's consumption of device resources and improve The utilization rate of equipment; the cost of information maintenance and storage is reduced, and computing resources can be allocated flexibly. However, cloud computing also has disadvantages: (1) It requires a persistent and stable network connection, and there is a large network delay in areas far ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08G01W1/10
CPCH04L67/10H04L67/12H04L67/30G01W1/10H04L67/55
Inventor 唐旺
Owner CHENGDU UNIV OF INFORMATION TECH
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